Online sports betting and casino operator across North America
Rush Street Interactive operates three established betting brands (BetRivers, PlaySugarHouse, RushBet) across U.S., Canadian, and Latin American markets. The tech stack reveals a company managing high-stakes regulatory and fraud concerns: MISP, STIX, and MITRE ATT&CK sit alongside data-streaming infrastructure (Kafka, Kinesis, Spark, Flink), analytics (Snowflake, dbt, Alteryx), and security tooling (SOAR, XDR, SOC 2). Active hiring focuses on engineering and support roles across four countries, with documented pain points around bot detection, collusion identification, and regulatory violation flagging—operational pressures that explain the heavy investment in detection methodologies and event tracking infrastructure.
Rush Street Interactive is a publicly traded online gaming operator founded in 2012 by gaming industry veterans. The company operates three customer-facing brands offering sports betting and online casino games, serving players across the United States, Canada, and Latin America. Operations span content development (original casino games), player engagement (promotional mechanics and gamification), financial planning and analysis automation, and compliance infrastructure. The organization currently employs 501–1,000 people and is headquartered in Chicago, Illinois.
Core platforms: Snowflake and dbt for analytics, Kafka/Kinesis/Spark/Flink for data streaming, AWS for cloud infrastructure, Python and React/Angular for applications. Security and compliance: MISP, STIX, MITRE ATT&CK, SOAR, and XDR. DevOps and enterprise tools: Terraform (adopting), Workday, Jira, Confluence.
Major focus areas: bot and collusion detection methodologies, centralized event tracking and registry (addressing duplication/gaps), regulatory compliance tooling and documentation, promotional mechanics and gamification for player engagement, and financial planning automation. Infrastructure projects include monitoring tools and instrumentation intake processes.
Rush Street Interactive's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.